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Speech and Audio Processing

Dr Shaila D. Apte

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ISBN 10: 8126534087 / ISBN 13: 9788126534081
Published by Wiley India Pvt. Ltd, 2012
New Condition: New Soft cover
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Speech and Audio Processing is a text targeted towards the final year undergraduate Speech Processing course and PG students in ECE, CS, and IT streams. This book aims at explaining the basic concepts in a clear-cut and simplified manner. It begins with the human speech production mechanism and then goes on to the fundamental parameters of speech such as pitch frequency, formants, spectral features like log spectrum, 3-D spectrogram, cepstral features, MFCC, linear prediction coefficients, transform-domain parameters, template matching techniques, etc. It deals with applications like speech coding, speech recognition, speaker recognition, and speech synthesis. It also includes the techniques used for musical signal synthesis and musical instrument recognition in polyphonic music. The book uses plenty of MATLAB programs along with their outputs, and provides a graphical interpretation of the results. Fundamentals of Speech Learning Objectives The Human Speech Production Mechanism LTI Model for Speech Production Nature of the Speech Signal Linear Time-Varying Model Phonetics Types of Speech Voiced and Unvoiced Decision Making Audio File Formats: Nature of the WAV File Summary Key Terms Multiple Choice Questions Review Questions Problems Answers Parameters of Speech: Pitch and Formants Learning Objectives Fundamental Frequency or Pitch Frequency Parallel Processing Approach for Calculation of Pitch Frequency Pitch Period Measurement Using Spectral Domain Cepstral Domain Formants and Their Relation With LPC Evaluation of Formants Using Cepstrum Evaluation of Formants Using Log Spectrum Evaluation of Formants Using Power Spectral Density Estimate Estimation of Formants: Other Methods Summary Key Terms Multiple Choice Questions Review Questions Problems Answers Spectral Parameters of Speech Learning Objectives Homomorphic Processing Cepstral Analysis of Speech: Cepstral Coefficients The Auditory System as a Filter Bank Mel Frequency Cepstral Coefficients (MFCCs) Perceptual Linear Prediction (PLP) Log Frequency Power Coefficients (LFPCs) RelAtive SpecTrAl Perceptual Linear Prediction (Rasta-PLP): Strategies for Robustness Short-Time Spectral Analysis of Speech: Short-Time Fourier Transform (STFT) Wavelet Transform Analysis of Speech Summary Key Terms Multiple Choice Questions Review Questions Problems Answers Linear Prediction of Speech Learning Objectives Lattice Structure Realization Forward Linear Prediction Autocorrelation Method Covariance Method Lattice Methods Selection of Order of the Predictor Line Spectral Frequencies/Line Spectral Pair Frequencies Summary Key Terms Multiple Choice Questions Review Questions Problems Answers Speech Quantization and Coding Learning Objectives Uniform and Non-Uniform Quantizers and Coder Companded Quantizer Uniform Quantization of Non-uniform Sources: Adaptive Quantizers Waveform Coding of Speech Comparison of Different Waveform Coding Techniques Parametric Speech Coding Techniques Sinusoidal Speech Coding Techniques Mixed Excitation Linear Prediction Coder Multi-Mode Speech Coding (Hybrid Coder) Transform Domain Cod Printed Pages: 464. Bookseller Inventory # 61973

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Bibliographic Details

Title: Speech and Audio Processing

Publisher: Wiley India Pvt. Ltd

Publication Date: 2012

Binding: Softcover

Book Condition:New

About this title

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Speech and audio processing is a text targeted towards the final year undergraduate speech processing course and pg students in ece, cs and it streams. This book aims at explaining the basic concepts in a clear-cut and simplified manner. It begins with the human speech production mechanism and then goes on to the fundamental parameters of speech such as pitch frequency, formants, spectral features like log spectrum, 3-d spectrogram, cepstral features, mfcc, linear prediction coefficients, transform-domain parameters, template matching techniques, etc. It deals with applications like speech coding, speech recognition, speaker recognition and speech synthesis. It also includes the techniques used for musical signal synthesis and musical instrument recognition in polyphonic music. The book uses plenty of matlab programs along with their outputs and provides a graphical interpretation of the results.

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